Скачать с ютуб (Part 4/4): Confluent Cloud (Managed Kafka as a Service) - Connectors в хорошем качестве

(Part 4/4): Confluent Cloud (Managed Kafka as a Service) - Connectors

In this podcast, Krish explores the various connectors available in Confluent Cloud. He starts by recapping the previous podcasts and the basics of Confluent Cloud. Krish then focuses on connectors, explaining their value and why they can reduce the need for writing code. He explores different connectors, such as the data gen source connector and the MongoDB Atlas connectors. Krish also discusses different data formats, including Avro, Protobuf, and JSON. He briefly touches on implementing custom connectors. Krish explores the topic of connectors in Confluent Cloud. He discusses the process of creating connectors and the different types of connectors available. Krish also delves into configuring connectors and defining configuration parameters. He explores the concept of custom connector configuration and the use of connector properties files. Krish then explores existing connectors, such as the HTTP source and sync connectors, and discusses the process of publishing custom connectors. He concludes by mentioning the Confluent CLI for managing connectors. Takeaways Connectors in Confluent Cloud provide value by reducing the need for writing code. Different connectors are available for various data sources and destinations, such as MongoDB, Amazon S3, and Elasticsearch. Data formats like Avro, Protobuf, and JSON can be used with connectors. Implementing custom connectors allows for more flexibility and integration with specific systems. Connectors enable seamless data integration and propagation between different systems. Connectors in Confluent Cloud allow for seamless integration with various systems and services. Custom connectors can be created and published to Confluent Cloud. Configuration parameters for connectors can be defined and managed. The Confluent CLI provides a command-line interface for managing connectors. Chapters 00:00 Introduction 00:35 Recap of Previous Podcasts 01:05 Focus on Connectors in Confluent Cloud 02:16 Exploring Data Gen Source Connector 03:43 Different Formats: Avro, Protobuf, JSON 08:07 Differences Between Avro and Protobuf 10:03 Exploring Other Connectors 11:14 Using MongoDB Atlas Connectors 12:08 Testing Different Formats with Connectors 13:36 Handling Avro Format with Consumer 16:58 Exploring More Connectors: Snowflake, Amazon S3, Elasticsearch 20:33 Implementing Custom Connectors 27:31 Exploring More Connectors: Salesforce, Oracle, Jira 35:16 Exploring More Connectors: SQL Server, MySQL 38:43 Implementing Custom Connectors 43:24 Exploring More Connectors: Kafka, File 46:20 Understanding Connector Implementation 49:06 Creating Custom Connectors 50:00 Summary and Conclusion 50:59 Creating Connectors 52:04 Configuring Connectors 54:00 Custom Connector Configuration 56:08 Defining Configuration Parameters 57:38 Configuration Properties 59:49 Self-Managed Connectors 01:00: 27 Connector Properties File 01:01:28 Creating Custom Connectors 01:02: 09 Publishing Custom Connectors 01:03: 37Existing Connectors 01:04: 14HTTP Source Connector 01:06:40 HTTP Sync Connector 01:08:34 Other Connectors 01:10:34 Managing Connectors 01:12:14 Confluent CLI Snowpal Products: • Backends as Services on ⁠⁠⁠⁠⁠AWS Marketplace⁠⁠⁠⁠⁠ (https://aws.amazon.com/marketplace/se...) • Mobile Apps on ⁠⁠⁠⁠⁠App Store⁠⁠⁠ (https://apps.apple.com/us/app/snowpal...) ⁠⁠ and ⁠⁠⁠⁠⁠Play Store⁠⁠⁠⁠⁠ (https://play.google.com/store/apps/de...) • ⁠⁠⁠⁠⁠Web App⁠⁠⁠⁠⁠ (https://snowpal.com) • ⁠⁠⁠⁠⁠Education Platform⁠⁠⁠ (https://getsnowpal.com/) ⁠⁠ for Learners and Course Creators